Designing AI-driven information security protocols using discrete mathematical models
Priti C. GolarDepartment of Information Technology, St. Vincent Pallotti College of Engineering and Technology, Nagpur, Maharashtra, 441108, IndiaPurushottam D. ShobhaneNagpur Campus, Symbiosis International (Deemed University), Symbiosis Institute of Technology, Nagpur, Maharashtra, 440008, IndiaSarvar Iskandarov BaltabaevichDepartment of Mathematical Analysis, Urgench State University, Urgench City, 220100, UzbekistanPriya KaremoreDepartment of Information Technology, JSPM’s Rajarshi Shahu College of Engineering, Pimpri-Chinchwad, Maharashtra, 411033, IndiaSeema KedarDepartment of Computer Engineering, JSPM’S Rajarshi Shahu College of Engineering, Pimpri-Chinchwad, Maharashtra, 411033, IndiaPragati Dubey
2026en
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ABI
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This study uses advanced artificial intelligence (AI) methods and discrete mathematical models to show a new way to create information security measures. Using vector measure spaces, orthogonal sets, and vectorial convergence ideas, we build strong mathematical bases that make protocols safer and more reliable. Our security procedures change to keep up with emerging threats owing to AI approaches like K-NN and Deep Q-Networks. A protocol lawet powered by AI detects and stops cyber threats immediately. The new approaches are more precise and lasting, according to experiments. Discrete mathematics and AI can handle current information system security concerns in a systematic and scalable method.
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